Package index

Administrative

Access a provider’s administrative data.

affiliations()

Provider Facility Affiliations

clinicians() experimental

Clinicians Enrolled in Medicare

hospitals() experimental

Hospitals Enrolled in Medicare

laboratories() experimental

Clinical Laboratories

nppes()

National Registry of Health Care Providers

opt_out() experimental

Providers Opted Out of Medicare

order_refer()

Order and Referral Eligibility

outpatient()

Outpatient Hospitals Enrolled in Medicare

pending() questioning

Pending Medicare Enrollment Applications

providers() experimental

Provider Enrollment in Medicare

reassignments() experimental

Reassignment of Benefits

Provider Statistics

Access a provider’s statistical data.

beneficiaries() questioning

Beneficiary Enrollment in Medicare

open_payments() open_payments_() experimental

Relationships with Drug & Medical Device Companies

quality_eligibility() quality_eligibility_() experimental

Quality Payment Program Eligibility

quality_payment() quality_payment_() experimental

Quality Payment Program Experience

utilization() utilization_() experimental

Provider Utilization & Demographics by Year

prescribers() prescribers_() experimental

Prescriber Utilization & Demographics by Year

compare_hcpcs()

Compare Provider Performance

Classifications

Classification systems for added context and dimensionality reduction.

betos() experimental

Restructured BETOS Classification for HCPCS

ndc_lookup() experimental

National Drug Code (NDC) Lookup

taxonomies()

NUCC Provider Taxonomy Codeset

taxonomy_codes()

Provider Taxonomies

taxonomy_crosswalk() experimental

Taxonomy Code // Medicare Specialty

Years

Years available to query for search functions.

open_years() out_years() rx_years() util_years() qpp_years() bene_years()

Years Currently Searchable for APIs

Utilities

Various helper functions.

change() chg() pct() ror() geomean() years_df() years_vec() duration_vec() make_interval() summary_stats() gen_data()

Utility Functions

add_counties()

Add county name, FIPs, and geometry to data frame with zip codes